摘要
根据二维空间内目标作匀速转向运动的特点,提出一种基于航向变化的目标加速度实时估计方法,并在此基础上采用采样卡尔曼滤波器对该机动目标进行跟踪.仿真结果表明,该方法不仅能够检测出目标机动开始时刻和终止时刻,而且还能近似估计出快速机动目标的加速度大小,与扩展卡尔曼滤波器相比,采样卡尔曼滤波器具有较好的跟踪精度.
According to the characteristic of the constant rate turn acting upon the target in a 2D Cartesian frame, a real time acceleration estimation method based on the target heading change is proposed. Furthermore the unscented Kalman filter is used to track the fast maneuvering target. Simulation results show that this new acceleration estimation method can detect when the maneuver occurs, the magnitude of maneuver values and when the maneuver disappears. It has better tracking performance compared with that of extended Kalman filter.
出处
《控制与决策》
EI
CSCD
北大核心
2006年第9期1028-1032,共5页
Control and Decision
基金
国家博士点基金项目(20020288025)
关键词
加速度估计
采样滤波器
目标跟踪
机动
Acceleration estimation
Unscented Kalman filter
Target tracking
Maneuver
